Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Urban Science  /  Vol: 5 Par: 1 (2021)  /  Artículo
ARTÍCULO
TITULO

An Evaluation of Massive Land Interventions for the Relocation of Capital Cities

Tom X. Hackbarth and Walter T. de Vries    

Resumen

Across the world, capital cities are being relocated. Such practices have existed almost as long as capitals themselves. Against the background of the relocation of Indonesia?s seat of government from Jakarta to East Kalimantan, it is clear that such processes will continue to take place in the future. Especially if one considers the reasons for the move: climate change is leading to an increasing inhabitability of the Indonesian capital. Therefore, it is important to understand the processes behind such megaprojects and their impacts on the surroundings in order to build new capitals sustainably. Hence, this paper deals with examples from the past seven decades and examines them from different perspectives, such as the underlying politics and economy, planning approaches, reasons for relocation, as well as cultural and ecological backgrounds. With an analytical methodology based on eight aspects of responsible land management interventions (the 8R-framework), it is possible to assess the degree to which these moves are responsible. Combined with a literature review of past documented evidence, we derived 8R-matrices, inferred recurring issues and constructed a database containing multiple aspects of capital relocations. This database allowed simple SQL-coding, which enabled describing commonalities among the different land interventions for the capital relocations. These results help to connect occurring sets of problems to particular political, economic and planning backgrounds and to identify different frameworks within which most new capitals are situated. These new insights make future capital relocations better manageable and can support the process of capital relocation in Indonesia.

 Artículos similares

       
 
Douglas Omoregie Aghimien, Matthew Ikuabe, Clinton Aigbavboa, Ayodeji Oke, Wealthy Shirinda    
The construction industry has been producing massive data that can be transformed for improved decision-making and better construction project delivery. However, the industry has been adjudged as a slow adopter of digital technologies such as big data an... ver más

 
Bo Jiang, Yanbai He, Rui Chen, Chuanyan Hao, Sijiang Liu and Gangyao Zhang    
Learning data feedback and analysis have been widely investigated in all aspects of education, especially for large scale remote learning scenario like Massive Open Online Courses (MOOCs) data analysis. On-site teaching and learning still remains the mai... ver más
Revista: Future Internet

 
Xin Xiao, Chaoyang Fang and Hui Lin    
?A picture is worth a thousand words?. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the conte... ver más

 
Christian Tipantuña and Xavier Hesselbach    
The increasing worldwide energy demand, the CO2 emissions generated due to the production and use of energy, climate change, and the depletion of natural resources are important concerns that require new solutions for energy generation and management. In... ver más
Revista: Future Internet

 
Lingling Zhao and Anping Zhao    
To facilitate product developers capturing the varying requirements from users to support their feature evolution process, requirements evolution prediction from massive review texts is in fact of great importance. The proposed framework combines a super... ver más
Revista: Future Internet